{"id":12736,"date":"2018-07-27T00:00:00","date_gmt":"2018-07-27T00:00:00","guid":{"rendered":"https:\/\/e-dialog.group\/blog\/smart-shopping-campaigns-8211-shopping-campaigns-with-goals\/"},"modified":"2026-02-26T13:38:04","modified_gmt":"2026-02-26T13:38:04","slug":"smart-shopping-campaigns-8211-shopping-campaigns-with-goals","status":"publish","type":"post","link":"https:\/\/e-dialog.group\/en\/blog\/smart-shopping-campaigns-8211-shopping-campaigns-with-goals\/","title":{"rendered":"Smart Shopping Campaigns 8211 Shopping Campaigns With Goals"},"content":{"rendered":"

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In this article we will show you how you can benefit from it and what you need for the right setup.<\/p>\n

User purchasing behavior & campaign management<\/h2>\n

Buying behavior has changed significantly in recent years. More and more users are looking for products, information, reviews or local availability before making a purchase. The entire customer journey has become significantly more complex and the purchasing process is influenced by many online and offline channels. Reaching the right user and therefore the potential customer at the right time with the right message is the biggest challenge for the numerous online retailers.<\/p>\n

Those tooThe complexity of campaign management is increasing<\/strong>. Different optimization options for manual bid adjustment for devices, locations, advertising schedule, target groups, demographic characteristics, ad formats or the use of remarketing segments are time-consuming.<\/p>\n

These manual campaign adjustments are becoming increasingly comprehensive and also depend heavily on the individual user and their individual progress in their customer journey. In addition, many signals that are available to a machine learning algorithm, for example (that’s up to 70 million signals), cannot be addressed manually. Here, so-called smart bidding can help us optimize the campaigns!<\/p>\n

Smart Bidding: Optimize campaigns with machine learning<\/h2>\n

Many advertisers are still skeptical about automated campaign adjustments. They only trust the algorithms to a limited extent or expect positive results immediately after application. However, it should be noted that Smart Bidding requires a certain amount of time until the algorithms work optimally. Only after approx. 7 to 15 days and the completion of the learning phase (the duration depends on the data basis) are the machines able to optimize the campaign to the set goals and generate the best possible results for advertisers.<\/p>\n

The new generation of shopping campaigns is based onMachine learning<\/strong>and makes it easier to manage them, optimize results and reach the right customers across the entire Google advertising network. Google algorithms analyze user data and factors such as seasonality, search term, device, location, placement, etc. On the advertiser side, information such as: promotions, shopping cart value, product category is taken into account.<\/p>\n

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Source: Google Academy on Air<\/figcaption><\/figure>\n

How do Smart Shopping Campaigns work?<\/h2>\n

The main goal of the new shopping campaigns with goals is to maximize the conversion value (sales) and aim for the highest possible ROAS. The bids are automatically optimized for each search term, each user and in real time according to the predefined goal.<\/p>\n

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Bidding the new shopping campaign with goals<\/figcaption><\/figure>\n

With itSmart bidding<\/strong>To function optimally, it is importantset realistic targets and limit ad delivery<\/strong>to prevent. As a best practice, Google recommends using the target ROAS around 2 to 3 weeks after the start of the campaign in order to enable the machines to have an optimal setup in the learning phase.<\/p>\n

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Source: Google Academy on Air<\/figcaption><\/figure>\n

The benefits of Smart Shopping Campaigns with Goals are:<\/h2>\n